Computer Science – Computation and Language
Scientific paper
1996-06-18
Proceedings of the 34th Annual Meeting of the ACL
Computer Science
Computation and Language
uuencoded, gzipped PostScript. Includes extra Appendix
Scientific paper
This paper describes a system that leads us to believe in the feasibility of constructing natural spoken dialogue systems in task-oriented domains. It specifically addresses the issue of robust interpretation of speech in the presence of recognition errors. Robustness is achieved by a combination of statistical error post-correction, syntactically- and semantically-driven robust parsing, and extensive use of the dialogue context. We present an evaluation of the system using time-to-completion and the quality of the final solution that suggests that most native speakers of English can use the system successfully with virtually no training.
Allen James F.
Miller Bradford W.
Ringger Eric K.
Sikorski Teresa
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